|Fundamentals of Hypothesis Testing Part I
One of the biggest uses of statistics is to conduct inferential statistics, or drawing conclusions of a population from a sample. Setting up the test is key in drawing up relevant conclusions.
The null and alternative hypotheses
Types of errors
Hypothesis test for a mean with a large sample
Hypothesis test for a mean with a small sample
Hypothesis test for a proportion
Fundamentals of Hypothesis Testing Part II
A continuation of Part I, but emphasis will be placed on two or more samples when drawing inferences.
Hypothesis test for two means – independent samples
Hypothesis test for two means – dependent samples
Hypothesis test for two proportions
One way Analysis of Variance
Fundamentals of Hypothesis Testing Part III
A continuation of hypothesis testing, looking at inferring based on count data as well as looking at possible correlational relationship and predictive powers of statistics.
Chi-Square test of goodness of fit
Chi-Square test of independence
Introduction to Regression